Underwater Imaging Using Underwater Vehicle for Subsea Surveillance

This Final Year Project (FYP) focuses on the improvement of images captured through the built-in underwater camera in the HydroView MAX, which is a Remotely-operated Vehicle (ROV) used to perform inspections in subsea environment. Images captured underwater are always degraded due to issues such as...

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Main Author: Soon, Lim Sheng
Format: Final Year Project
Language:English
Published: IRC 2015
Subjects:
Online Access:http://utpedia.utp.edu.my/15603/1/Lim%20Sheng%20Soon%2014932%20FINAL%20DISSERTATION.pdf
http://utpedia.utp.edu.my/15603/
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spelling my-utp-utpedia.156032017-01-25T09:35:49Z http://utpedia.utp.edu.my/15603/ Underwater Imaging Using Underwater Vehicle for Subsea Surveillance Soon, Lim Sheng TK Electrical engineering. Electronics Nuclear engineering This Final Year Project (FYP) focuses on the improvement of images captured through the built-in underwater camera in the HydroView MAX, which is a Remotely-operated Vehicle (ROV) used to perform inspections in subsea environment. Images captured underwater are always degraded due to issues such as light scattering and colour changes. Image-processing algorithms are applied to improve the degraded images so that the images obtained will be enhanced and closer to their true colours for further analysis. These qualities are required so that the degree of corrosion of the underwater pipelines can be estimated with considerable reliability. The estimation of the corrosion degree is made possible by judging on the percentage of corroded surface over the pipeline surface based on the binary image generated. IRC 2015-04 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/15603/1/Lim%20Sheng%20Soon%2014932%20FINAL%20DISSERTATION.pdf Soon, Lim Sheng (2015) Underwater Imaging Using Underwater Vehicle for Subsea Surveillance. IRC, Universiti Teknologi PETRONAS. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Soon, Lim Sheng
Underwater Imaging Using Underwater Vehicle for Subsea Surveillance
description This Final Year Project (FYP) focuses on the improvement of images captured through the built-in underwater camera in the HydroView MAX, which is a Remotely-operated Vehicle (ROV) used to perform inspections in subsea environment. Images captured underwater are always degraded due to issues such as light scattering and colour changes. Image-processing algorithms are applied to improve the degraded images so that the images obtained will be enhanced and closer to their true colours for further analysis. These qualities are required so that the degree of corrosion of the underwater pipelines can be estimated with considerable reliability. The estimation of the corrosion degree is made possible by judging on the percentage of corroded surface over the pipeline surface based on the binary image generated.
format Final Year Project
author Soon, Lim Sheng
author_facet Soon, Lim Sheng
author_sort Soon, Lim Sheng
title Underwater Imaging Using Underwater Vehicle for Subsea Surveillance
title_short Underwater Imaging Using Underwater Vehicle for Subsea Surveillance
title_full Underwater Imaging Using Underwater Vehicle for Subsea Surveillance
title_fullStr Underwater Imaging Using Underwater Vehicle for Subsea Surveillance
title_full_unstemmed Underwater Imaging Using Underwater Vehicle for Subsea Surveillance
title_sort underwater imaging using underwater vehicle for subsea surveillance
publisher IRC
publishDate 2015
url http://utpedia.utp.edu.my/15603/1/Lim%20Sheng%20Soon%2014932%20FINAL%20DISSERTATION.pdf
http://utpedia.utp.edu.my/15603/
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score 13.211869